Layer Reference Sets

Overview

A reference set is a named group of files plus a training category. Trained, it produces a LoRA that later runs apply by id, turning an art direction into a parameter instead of a prompt-engineering exercise every time.

The mechanics (upload, create_reference_set, estimate_training_price, start_training, get_training_status, get_trained_model, and the five categories) are covered by Layer's published layer-train-custom-style skill, over both REST and MCP. This skill covers the decisions that determine whether the trained result is any good.

If a sibling skill named here is missing from your available skills, ask the user to install it (npx skills add layerai/skills --skill <name>); unattended, proceed from tool schemas and flag the gap.

Decide whether to train at all